IntentFlow · Context Relay
Relay natural language intents to target agents for context-aware task execution.
What it does
Relay natural language intents to target agents for context-aware task execution.
- Route user intents to specialized AI agents
- Bridge context between agent systems
- Enable natural language agent orchestration
Ideal buyer
Multi-agent system developers requiring lightweight intent routing and context passing.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, test-buy, then run the governed paid fetch through AXON.
Send this
Prompt for your agent
A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.
Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.
“Relay my intent to analyze this smart contract to the security analysis agent”
Endpoint request body
The JSON payload your agent sends to the endpoint.
{
"intent": "Analyze this smart contract for reentrancy vulnerabilities and provide a security report"
}Advanced HTTP details
For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.
Endpoint URL
curl fallback
curl https://intentflow.melis.ai/relay \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]" \ -d '{"intent":"Analyze this smart contract for reentrancy vulnerabilities and provide a security report"}'
Payment & settlement details
Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.
Price & network
Trust & risk
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